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Senior Staff Engineer, Platform R&D

Crusoe · San Francisco, CA - US

On-site Staff
GoRustC++

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a Sr. Staff Engineer, Platform R&D to embed senior research and development capacity directly into Crusoe's Managed Platform Services (MAPS) team. In this role, you will accelerate delivery across all MAPS domains through rapid experimentation, AI-augmented prototyping, and hands-on product scoping — reducing ambiguity early and ensuring engineering and product are always building toward the right incremental milestones. You will float across teams and domains, operating as a force multiplier with no single product ownership. What You'll Be Working On: - Rapid Prototyping & Experimentation: Lead fast-cycle R&D efforts across MAPS domains — using AI-augmented workflows to prototype not just the recommended solution, but the full solution space. Compress the time from

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